Multi Object Tracking On Dancetrack
評価指標
AssA
HOTA
IDF1
MOTA
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | AssA | HOTA | IDF1 | MOTA |
---|---|---|---|---|
observation-centric-sort-rethinking-sort-for | 38.0 | 55.1 | 54.2 | 89.4 |
multiple-object-tracking-as-id-prediction | 60.8 | 70.0 | 75.1 | 91.0 |
a-simple-baseline-for-multi-object-tracking | 23.8 | 39.7 | 40.8 | 82.2 |
beyond-kalman-filters-deep-learning-based | 38.7 | 56.1 | 56.0 | 91.8 |
learning-data-association-for-multi-object | 47.2 | 62.1 | 63.6 | 91.4 |
motrv2-bootstrapping-end-to-end-multi-object | 64.4 | 73.4 | 76.0 | 92.1 |
multiple-object-tracking-from-appearance-by | 29.9 | 48.7 | 46.5 | 89.9 |
hybrid-sort-weak-cues-matter-for-online-multi | 47.4 | 62.2 | 63.0 | 91.6 |
bridging-the-gap-between-end-to-end-and-non | 58.9 | 69.4 | 71.9 | 91.2 |
motiontrack-learning-motion-predictor-for | 41.7 | 58.2 | 58.6 | 91.3 |
bytetrack-multi-object-tracking-by-1 | 31.5 | 47.1 | 51.9 | 88.2 |
transtrack-multiple-object-tracking-with | 27.5 | 45.7 | 44.8 | 83.0 |
memotr-long-term-memory-augmented-transformer | 52.3 | 63.4 | 65.5 | 85.4 |
multiple-object-tracking-as-id-prediction | 62.8 | 71.4 | 76.3 | 91.6 |
ucmctrack-multi-object-tracking-with-uniform | - | 63.6 | 65.0 | - |
memotr-long-term-memory-augmented-transformer | 58.4 | 68.5 | 71.2 | 89.9 |
exploring-learning-based-motion-models-in | 39.0 | 56.1 | 54.9 | 90.3 |
tracking-objects-as-points | 22.6 | 41.8 | 35.7 | 86.8 |
engineering-an-efficient-object-tracker-for-1 | 48.6 | 63.0 | 65.0 | 92.6 |
deep-oc-sort-multi-pedestrian-tracking-by | 45.8 | 61.3 | 61.5 | 92.3 |
a-confidence-aware-matching-strategy-for | 46.4 | 61.8 | 63.3 | 92.5 |
multiple-object-tracking-challenge-technical | 52.95 | 66.66 | 70.6 | 93.97 |
hybrid-sort-weak-cues-matter-for-online-multi | 52.6 | 65.7 | 67.4 | 91.8 |
multiple-object-tracking-as-id-prediction | 65.9 | 73.7 | 78.4 | 92.7 |
associate-everything-detected-facilitating | 54.3 | 66.6 | 69.7 | 92.2 |
motr-end-to-end-multiple-object-tracking-with | 40.2 | 54.2 | 51.5 | 79.7 |
quasi-dense-instance-similarity-learning | 29.2 | 45.7 | 44.8 | 83.0 |
interacting-multiple-model-based-joint | 55.41 | 66.24 | 71.72 | 89.95 |
multiple-object-tracking-as-id-prediction | 57.6 | 67.5 | 72.2 | 90.3 |
hard-to-track-objects-with-irregular-motions | 45.4 | 60.6 | 61.6 | 91.6 |
track-to-detect-and-segment-an-online-multi | 25.4 | 43.3 | 41.2 | 86.2 |
sparsetrack-multi-object-tracking-by | 39.3 | 55.7 | 58.1 | 91.3 |
ettrack-enhanced-temporal-motion-predictor | 39.1 | 56.4 | 57.5 | 92.2 |
when-to-extract-reid-features-a-selective | 38.8 | 55.9 | 54.6 | - |